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Senior DataOps Engineer IT & Data Development

01.techVictoria🇦🇺Australia

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeRemote
LocationVictoria, Australia
AWSLoad BalancingNginxSnowflakeIstioPythonTraefikPostgreSQLLinuxOkta

Job description

  • Build a clustered on-premise ClickHouse setup for our own cloud infrastructure
  • Deploy, scale, and maintain ClickHouse clusters in production
  • Develop and evolve database-related infrastructure across the Data platform
  • Automate infrastructure processes and build internal tooling
  • Develop and integrate role-based access models across ClickHouse, Snowflake, PostgreSQL, and other databases
  • Establish naming conventions and user role models for database environments
  • Work with MPP and distributed query technologies, including Trino, Greenplum, Vertica, StarRocks, and others
  • Improve the performance, reliability, and scalability of Data infrastructure
  • Troubleshoot complex production issues across infrastructure, operating systems, networking, and storage
Requirements
  • 5+ years of experience in DevOps, SRE, or DataOps
  • Deep hands-on expertise with ClickHouse in production environments
  • Strong understanding of distributed systems, networking, storage, and performance
  • Experience with production troubleshooting and low-level Linux / nix performance tuning
  • Experience building automation and internal tooling, preferably with Python and/or Go
  • Deep understanding of core Cybersecurity / AppSec concepts, technologies, and tools
  • Hands-on experience with Karpenter
  • Experience with AWS cost optimization using Kubecost, Infracost, AWS tagging, or similar approaches
  • Experience with ingress, load balancing, and traffic termination using Traefik, Istio, Nginx, and SSL/TLS
  • Experience with identity management solutions such as Authentik, Keycloak, Okta, or similar tools
  • Experience with VPN solutions such as Pritunl, OpenVPN, WireGuard, Fortinet, or similar technologies
  • Deep understanding of at least one analytical database, MPP system, or distributed query engine such as ClickHouse, StarRocks, Trino, Greenplum, Doris, DuckDB, or Vertica
  • The opportunity to work on large-scale products and contribute to their development
  • A flexible work environment built on autonomy, ownership, and trust, without micromanagement
  • The option to work fully remotely or from a modern office
  • Medical insurance coverage in countries where the company operates
  • An annual $2,000 benefits allowance after the probation period, which can be used for health insurance upgrades, language learning, and sports activities
  • Partial reimbursement for professional training, courses, and participation in industry conferences
  • Access to a corporate digital library
  • Company-funded weekly online sessions with a psychologist
  • Relocation opportunities to countries where the company has offices, with relocation assistance available after the probation period, subject to approval

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